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Preparing Your Data for AI: Register for our webinar with BigID
The impact of Large Language Models (LLMs) cannot be overstated. In just twelve months, the use of generative AI in everyday life has become commonplace, with GPT-aided processes embedded in apps and websites enhancing and augmenting everything from school essays to startup pitch decks. In their respective roles as Chief Data Officer at BigID, and …
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5 Steps to Build the Case for Data & Analytics Governance
The task of creating a compelling business case for data and analytics governance is often complex and daunting. In this blog, we break down the big picture into five simple steps to follow and turbocharge your data management strategy. Why is data and analytics governance important? Data and analytics governance is crucial for organisations in …
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Typical deployment architecture
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Solution configuration and building
Leverage our team’s expertise to support your delivery.
Deployment
We offer full flexibility over deployment and architecture.
Requirements
Datactics software components offer flexibility, allowing users to access the rule building studio from various environments, providing convenience and adaptability. Installations require:
Operating Systems
Our platform supports both Windows and Linux operating systems.
How You’ll Know You Still Have a Data Quality Problem
Despite a seemingly healthy green glow in your dashboards and exemplary regulatory reports, you can’t help but sense that something is amiss with the data. If this feeling rings true for you, don’t worry – it may be an indication of bigger issues lurking beneath the surface. You’re not alone. In this blog we’ve taken …
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What is Data Remediation?
Data remediation: Identifying and correcting errors, inconsistencies and inaccuracies in data to ensure quality and accuracy.
Top 5 Trends in Data and Information Quality for 2023
In this blog post, our Head of Marketing, Matt Flenley, takes a closer look at the latest trends in data and information quality for 2023. He analyses predictions made by Gartner and how they’ve developed in line with expectations to provide insight into the evolution of the market and its various key players. Automation and …
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What is Data Integrity? Why is Data Integrity Important?
Data integrity is the process of maintaining the accuracy and completeness of data over its entire life cycle and how it is applied..
What is ETL (extract-transform-load)?
ETL refers to the process of extracting data from a source system, transforming it into the desired format, and loading it into a target system.
What is Data Observability?
Data observability is the ability to see and understand data as it flows through an organization, enabling professionals to track metadata issues
What is a Data Lake, Data Warehouse and Data Lakehouse?
This post defines and explains the differences between a Data Lake, Data Warehouse and Data Lakehouse
What is the Gartner Magic Quadrant?
The Gartner Magic Quadrant provides a graphical depiction of different types of technology providers and their position in fast-growing markets..